Measuring Disaster Crop Production Losses Using Survey Microdata
Every year, disasters account for billions of dollars in crop production losses in low- and middle-income countries and particularly threaten the lives and livelihoods of those depending on agriculture. With climate change accelerating, this burden will likely increase in the future and accurate, micro-level measurement of crop losses will be important to understand disasters’ implications for livelihoods, prevent humanitarian crises, and build future resilience. Survey data present a large, rich, highly disaggregated information source that is trialed and tested to the specifications of smallholder agriculture common in low- and middle-income countries. However, to tap into this potential, a thorough understanding of and robust methodology for measuring disaster crop production losses in survey microdata is essential. This paper exploits plot-level panel data for almost 20,000 plots on 8,000 farms in three Sub-Saharan African countries with information on harvest, input use, and different proxies of losses; household and community-level data; as well data from other sources such as crop cutting and survey experiments, to provide new insights into the reliability of survey-based crop loss estimates and their attribution to disasters. The paper concludes with concrete recommendations for methodology and survey design and identifies key avenues for further research.
| Main Authors: | , , |
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| Format: | Working Paper biblioteca |
| Language: | English |
| Published: |
Washington, DC: World Bank
2022-03-14
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| Subjects: | FLOOD, POST DISASTER NEEDS ASSESSMENT, DISASTER RISK REDUCTION STRATEGIES, CLIMATE CHANGE IMPACT, CROP MANAGEMENT, ZERO HUNGER, SDG 2, CLIMATE ACTION, SDG 13, |
| Online Access: | http://documents.worldbank.org/curated/en/324181647280329139/Measuring-Disaster-Crop-Production-Losses-Using-Survey-Microdata-Evidence-from-Sub-Saharan-Africa https://hdl.handle.net/10986/37163 |
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